Skip navigation
Skip navigation

Use of Bayesian geostatistical prediction to estimate local variations in Schistosoma haematobium infection in western Africa

Clements, Archie; Firth, Sonja; Dembelé, Robert; Garba, Amadou; Touré, Seydou; Sacko, Moussa; Landoure, Aly; Bosque-Oliva, Elisa; Barnett, Adrian; Brooker, Simon; Fenwick, A

Description

Objective: To predict the subnational spatial variation in the number of people infected with Schistosoma haematobium in Burkina Faso, Mali and the Niger prior to national control programmes. Methods: We used field survey data sets covering a contiguous area 2750 x 850 km and including 26 790 school-age children (5-14 years old) in 418 schools. The prevalence of high- and low-intensity infection and associated 95% credible intervals (CrIs) were predicted using Bayesian geostatistical models....[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
URI: http://hdl.handle.net/1885/74468
Source: Bulletin of the World Health Organization
DOI: 10.2471/BLT.08.058933

Download

File Description SizeFormat Image
01_Clements_Use_of_Bayesian_geostatistical_2009.pdf1.04 MBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator